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Application of FBG Sensing Technology in Stability Analysis of Geogrid-Reinforced Slope
By installing FBG sensors on the geogrids, smart geogrids can both reinforce and monitor the stability for geogrid-reinforced slopes. In this paper, a geogrid-reinforced sand slope model test is conducted in the laboratory and fiber Bragg grating (FBG) sensing technology is used to measure the strai...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375883/ https://www.ncbi.nlm.nih.gov/pubmed/28294995 http://dx.doi.org/10.3390/s17030597 |
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author | Sun, Yijie Xu, Hongzhong Gu, Peng Hu, Wenjie |
author_facet | Sun, Yijie Xu, Hongzhong Gu, Peng Hu, Wenjie |
author_sort | Sun, Yijie |
collection | PubMed |
description | By installing FBG sensors on the geogrids, smart geogrids can both reinforce and monitor the stability for geogrid-reinforced slopes. In this paper, a geogrid-reinforced sand slope model test is conducted in the laboratory and fiber Bragg grating (FBG) sensing technology is used to measure the strain distribution of the geogrid. Based on the model test, the performance of the reinforced soil slope is simulated by finite element software Midas-GTS, and the stability of the reinforced soil slope is analyzed by strength reduction method. The relationship between the geogrid strain and the factor of safety is set up. The results indicate that the measured strain and calculated results agree very well. The geogrid strain measured by FBG sensor can be applied to evaluate the stability of geogrid-reinforced sand slopes. |
format | Online Article Text |
id | pubmed-5375883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-53758832017-04-10 Application of FBG Sensing Technology in Stability Analysis of Geogrid-Reinforced Slope Sun, Yijie Xu, Hongzhong Gu, Peng Hu, Wenjie Sensors (Basel) Article By installing FBG sensors on the geogrids, smart geogrids can both reinforce and monitor the stability for geogrid-reinforced slopes. In this paper, a geogrid-reinforced sand slope model test is conducted in the laboratory and fiber Bragg grating (FBG) sensing technology is used to measure the strain distribution of the geogrid. Based on the model test, the performance of the reinforced soil slope is simulated by finite element software Midas-GTS, and the stability of the reinforced soil slope is analyzed by strength reduction method. The relationship between the geogrid strain and the factor of safety is set up. The results indicate that the measured strain and calculated results agree very well. The geogrid strain measured by FBG sensor can be applied to evaluate the stability of geogrid-reinforced sand slopes. MDPI 2017-03-15 /pmc/articles/PMC5375883/ /pubmed/28294995 http://dx.doi.org/10.3390/s17030597 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sun, Yijie Xu, Hongzhong Gu, Peng Hu, Wenjie Application of FBG Sensing Technology in Stability Analysis of Geogrid-Reinforced Slope |
title | Application of FBG Sensing Technology in Stability Analysis of Geogrid-Reinforced Slope |
title_full | Application of FBG Sensing Technology in Stability Analysis of Geogrid-Reinforced Slope |
title_fullStr | Application of FBG Sensing Technology in Stability Analysis of Geogrid-Reinforced Slope |
title_full_unstemmed | Application of FBG Sensing Technology in Stability Analysis of Geogrid-Reinforced Slope |
title_short | Application of FBG Sensing Technology in Stability Analysis of Geogrid-Reinforced Slope |
title_sort | application of fbg sensing technology in stability analysis of geogrid-reinforced slope |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5375883/ https://www.ncbi.nlm.nih.gov/pubmed/28294995 http://dx.doi.org/10.3390/s17030597 |
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